DocumentCode
2833455
Title
Shape from Shading based on Maximum Entropy
Author
Wang, Shuzhen ; Xie, Kun ; Yuan, Ye ; Sheng, Lijie
Author_Institution
Sch. of Comput., Xidian Univ., Xi´´an
fYear
2008
fDate
Aug. 29 2008-Sept. 2 2008
Firstpage
287
Lastpage
289
Abstract
Because all the Shape from shading (SFS) algorithm depend on assumptions about the continuity of surface height and its partial derivatives, we add the smooth constraint to the objective function to enforce the integrability, and propose a new shape from shading algorithm based on maximum entropy. We present results of our new shape from shading method on a synthetic image. Results and comparisons showed that the new algorithm gives consistently better feature preserving reconstructions.
Keywords
image reconstruction; maximum entropy methods; feature preserving reconstructions; maximum entropy; shape from shading algorithm; surface height continuity; synthetic image; Entropy; Shape; image reconstruction; maximum entropy; shape from shading;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location
Singapore
Print_ISBN
978-0-7695-3308-7
Type
conf
DOI
10.1109/ICCSIT.2008.74
Filename
4624877
Link To Document